AWS · OpenSearch Service · SME track

Become an Amazon OpenSearch SME in 30 Days

The most comprehensive OpenSearch learning platform built for AWS engineers — structured notes, scenarios from Indian digital commerce, quizzes, diagrams, and operator-ready cheat sheets.

9 core topics50+ glossary concepts30 real-world scenarios100+ quiz questions

Everything you need to own OpenSearch in production

From inverted indexes to FGAC, OSIS pipelines to k-NN hybrid search — connected into one learning system.

Interactive 30-day roadmap

Four phases from foundations to capstone design, with local progress tracking and phase celebrations.

Deep theory notes

Nine exhaustive chapters with Query DSL, security, ingestion, k-NN, pricing, and Indian business analogies.

Real-world Indian scenarios

Flipkart search, Swiggy geo, Zomato logs, Razorpay fraud signals — architecture and trade-offs spelled out.

Self-assessment quiz engine

100+ questions across modes: quick, full exam, phase drill-down, and topic retries with weak-area links.

Architecture diagram gallery

Twenty Mermaid diagrams covering VPC, ISM, OSIS, hybrid search, blue/green, and SME reference stacks.

Printable cheat sheets

Dense operator reference: node types, ISM templates, FGAC, metrics, limits — optimized for A4/Letter print.

This hub is designed around evidence-backed learning: retrieval practice through quizzes, spaced repetition via the 30-day roadmap, and the Feynman technique — explain Flipkart search or IRCTC logs as if teaching a teammate — reinforced by scenarios and diagrams.

Read deeply, draw architectures, then test yourself. Repeat on weak topics until OpenSearch internals feel obvious.